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Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations

Overview of attention for article published in Molecular Cancer, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
facebook
2 Facebook pages

Citations

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56 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
Published in
Molecular Cancer, November 2013
DOI 10.1186/1476-4598-12-140
Pubmed ID
Authors

Angela A Fachel, Ana C Tahira, Santiago A Vilella-Arias, Vinicius Maracaja-Coutinho, Etel RP Gimba, Giselle M Vignal, Franz S Campos, Eduardo M Reis, Sergio Verjovski-Almeida

Abstract

Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Sri Lanka 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 12 23%
Student > Bachelor 5 10%
Student > Master 4 8%
Professor 3 6%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 7 13%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 8 15%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2014.
All research outputs
#3,611,654
of 22,731,677 outputs
Outputs from Molecular Cancer
#237
of 1,716 outputs
Outputs of similar age
#33,685
of 211,390 outputs
Outputs of similar age from Molecular Cancer
#2
of 24 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,716 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 211,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.